To evaluate the proposed method on real-world problems, we downloaded a number of publicly available datasets for homography, two-view motion, and motion fitting.
The error is the misclassification error (ME), , the ratio of points assigned to the wrong cluster.
Progressive-X\(^+\)  is designed to avoid assigning each data point to a single instance.
Thus, we assigned each point to the model with the smallest residual.
The results of the compared methods are copied from [1]}, [2]}, where they were carefully tuned to achieve their best results with fixed parameters.
